Video Prompting Guide

Video-Prompting-Guide provides filmmakers, content creators, and AI video users with structured best practices for writing effective prompts across major AI video generation platforms including Veo, Runway, Sora, and Kling. The skill teaches prompt engineering techniques covering shot types, camera movements, lighting, pacing, and style keywords to help users achieve higher-quality, consistent video generation results. It solves the problem of vague or poorly-structured prompts that produce unpredictable outputs by offering a formula-based approach and practical examples for cinematographic vocabulary.

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Install

$ npx -y skills add inferen-sh/skills --skill video-prompting-guide --agent claude-code

Installs into .claude/skills of the current project.

Files

Install the belt CLI skill: npx skills add belt-sh/cli

Video Prompting Guide

Best practices for writing effective AI video generation prompts via inference.sh.

Video Prompting Guide

Quick Start

Requires inference.sh CLI (belt). Install instructions

belt login

# Well-structured video prompt
belt app run google/veo-3-1-fast --input '{
  "prompt": "Cinematic tracking shot of a red sports car driving through Tokyo at night, neon lights reflecting on wet streets, rain falling, 4K, shallow depth of field"
}'

Prompt Structure Formula

[Shot Type] + [Subject] + [Action] + [Setting] + [Lighting] + [Style] + [Technical]

Example Breakdown

"Slow motion close-up of coffee being poured into a white ceramic cup,
steam rising, morning sunlight streaming through window, warm color grading,
cinematic, 4K, shallow depth of field"

SKILL.md on GitHub

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